Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

BigDL Nano automatically accelerates TensorFlow and PyTorch pipelines by applying modern CPU optimizations.

See here for more information.

Metadata

Release files for bigdl-nano 2.5.0b20240207

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for bigdl-nano 2.5.0b20240207
File Actions
bigdl_nano-2.5.0b20240207-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.5.0b20240207-py3-none-win_amd64.whl
bigdl_nano-2.5.0b20240207-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.5.0b20240207-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.5.0b20240207-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.5.0b20240207-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.5.0b20240207-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.5.0b20240207-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.5 MB

Release files / bigdl_nano-2.5.0b20240207-py3-none-win_amd64.whl

Download URL bigdl_nano-2.5.0b20240207-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
da7699e7a37b806d3c558f48fd55b682aca8c6c72a3d08c53eefb50ecab26fff
BLAKE2b-256 checksum
How to use checksums
1127d99f9dcc0d4907b07202d6344621960d3cbba83abf3aa49bd6b2351a5c08
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Release files / bigdl_nano-2.5.0b20240207-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.5.0b20240207-py3-none-manylinux2010_x86_64.whl
Size 2.9 MB
Tags Linux glibc 2.12+ x86-64 Python 3
SHA-256 checksum
How to use checksums
a33754c9b31b3f8fa7f5bda5d5a31004d6c1afde05f4c4e68d840e2f34fd03a5
BLAKE2b-256 checksum
How to use checksums
e7ff787378910e1353e1295dd4a68c4f60b5f2e1633875cc44a1df8ecd47af90
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Release files / bigdl_nano-2.5.0b20240207-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.5.0b20240207-py3-none-macosx_11_0_arm64.whl
Size 2.9 MB
Tags Python 3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
8ec0bf61d756463e37ffa2ebc37c65ea9210c461e9c90db472bfbd05ce5cbe53
BLAKE2b-256 checksum
How to use checksums
6ec08005ffa5cc706763c57048b93761ab289d52b9fa8387dd9dc1cb30b4521a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Release files / bigdl_nano-2.5.0b20240207-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.5.0b20240207-py3-none-macosx_10_11_x86_64.whl
Size 2.9 MB
Tags Python 3 macOS 10.11+ x86-64
SHA-256 checksum
How to use checksums
5dafcaa76c920cdeb4b85a460a0d56219f304d5431861cccab23bef51d9083b8
BLAKE2b-256 checksum
How to use checksums
045c478bd4d6cb48c42f90da50c4d9b7f0daf30f74db3c49ceb7cbec8470e93d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Security for bigdl-nano 2.5.0b20240207

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page